issue_comments: 396043207

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https://github.com/pydata/xarray/issues/2223#issuecomment-396043207 https://api.github.com/repos/pydata/xarray/issues/2223 396043207 MDEyOklzc3VlQ29tbWVudDM5NjA0MzIwNw== 15956441 2018-06-10T11:55:54Z 2018-06-10T11:55:54Z CONTRIBUTOR

Thanks for your comment

had a deeper look at DataArray.interp and it computes a new DataArray with new coords given by the dict. I first thought i'll get a 1D array which is not the case (this is often the behavior I want). I then compared first 10_000 interpolations on sdf against 100_000_000 in xarray! It explains the gap.

Updated my comparison with the same behavior with scipy and sdf in a jupyter notebook on mybinder

It seems everything's well with xarray.

Extrapolation (linear first) would be a good feature too, I put an example at the end of the notebook about sdf interpolation/extrapolation possibilites (work for nd-arrays of dim 32 as with numpy) 

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